Search Results for author: Wanli Ma

Found 6 papers, 0 papers with code

Knowledge Distillation for Road Detection based on cross-model Semi-Supervised Learning

no code implementations7 Feb 2024 Wanli Ma, Oktay Karakus, Paul L. Rosin

The proposed semi-supervised learning-based knowledge distillation (SSLKD) approach demonstrates a notable improvement in the performance of the student model, in the application of road segmentation, surpassing the effectiveness of traditional semi-supervised learning methods.

Knowledge Distillation Road Segmentation

DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery

no code implementations22 Nov 2023 Wanli Ma, Oktay Karakus, Paul L. Rosin

The two proposed methods of DiverseNet, namely the DiverseHead and DiverseModel, achieve the highest semantic segmentation performance in four widely utilised remote sensing imagery data sets compared to state-of-the-art semi-supervised learning methods.

Semi-Supervised Semantic Segmentation

Confidence-Guided Semi-supervised Learning in Land Cover Classification

no code implementations17 May 2023 Wanli Ma, Oktay Karakus, Paul L. Rosin

Especially in the application of land cover classification, pixel-level manual labelling in large-scale imagery is labour-intensive, time-consuming and expensive.

Classification Land Cover Classification +1

High-precision Density Mapping of Marine Debris and Floating Plastics via Satellite Imagery

no code implementations11 Oct 2022 Henry Booth, Wanli Ma, Oktay Karakus

As such, this paper comprised of three main components: (1) the development of a machine learning model, (2) the construction of the MAP-Mapper, an automated tool for mapping marine-plastic density, and finally (3) an evaluation of the whole system for out-of-distribution test locations.

Exploiting the Dual-Tree Complex Wavelet Transform for Ship Wake Detection in SAR Imagery

no code implementations11 Dec 2020 Wanli Ma, Alin Achim, Oktay Karakuş

In this paper, we analyse synthetic aperture radar (SAR) images of the sea surface using an inverse problem formulation whereby Radon domain information is enhanced in order to accurately detect ship wakes.

Efficient Structured Matrix Rank Minimization

no code implementations NeurIPS 2014 Adams Wei Yu, Wanli Ma, YaoLiang Yu, Jaime Carbonell, Suvrit Sra

We study the problem of finding structured low-rank matrices using nuclear norm regularization where the structure is encoded by a linear map.

Cannot find the paper you are looking for? You can Submit a new open access paper.